Structured literature review across AI safety, aviation, and healthcare to map incident pipelines; designed multi-stage incident taxonomy for post-deployment monitoring.

🥭 Kevin Hernandez (he/him)
Hi, i'm Kevin ᕕ(ᐛ)ᕗ!
I am curious about how
youth can build critical AI literacy
and
techno-social change agency,
equipping them to
contest and
shape AI’s design and
governance.
Through
community-centered research,
I seek to create interventions that
redistribute power and enable
democratic oversight of AI
in contexts from
education to
municipalities.
news
Also received ACM SIGCSE travel support and Rice CS conference funds.
<i>QuantAid: A Constructivist Model to Improve Quantum Computing Education for Early Learners</i>.
research
AI Standards Lab: Building Post-Deployment AI Incident Monitoring Frameworks
Human–Automation Collaboration (HAC) Lab: Improving Usability in Self-Driving Simulations
Enhancing AI for Disinformation and Radicalization Simulation
Scalable Health Labs: Data-Driven Analysis of Health Disparities
Public-Sector Data Engineering: Dual-Language Access & Displacement Mapping
Big Data on the Dairy: Human–AI Collaboration in Automated Agriculture
Teaching & Mentoring
Taught 150+ Houston high schoolers; 86% reported increased interest in STEM (post-program survey).
Led a 32-person team delivering 100+ tutoring events for 400+ students/year; recruitment and check-ins increased retention and volume by 23%.
Matched 60+ FGLI students with mentors; onboarding & events boosted retention by 31%.
misc
- Rice OURI Shapiro Showcase (2024): 10-minute Lightning Talks - Rice SoE/Computing Student Research Competition (2025) - Stanford SURF Poster & Lightning Talks (2023)